System Architecture

System Functions
The PD IED Online Monitoring System utilizes the Ultra High Frequency (UHF) method to detect and analyze partial discharge (PD) in GIS and transformer equipment. It overcomes the limitations of traditional monitoring methods, which often suffer from low measurement frequency and narrow frequency bandwidth.
This system operates reliably under harsh conditions such as high voltage, extreme temperatures, and strong electromagnetic interference. Using an external sensor interface, it communicates with the PD IED via coaxial cables. The PD IED cabinet is typically connected to the server in the control room through fiber optic cables. The server-side software platform integrates, analyzes, diagnoses, and displays partial discharge data in real time.
By providing timely insight into the operational health of GIS and transformer equipment, the system enables targeted maintenance strategies, effectively enhancing the overall power supply reliability.
Main Monitoring Equipment
HMJ1020-IED Series PD IED


Product Type | Item Name | Technical Parameters |
Partial Discharge IED | Monitoring Bandwidth | 300 ~ 1500MHz |
Measurement Range | -80 ~ -20dBm | |
Measurement Accuracy | 0.1dB | |
Monitoring Sensitivity | -80dbm | |
Monitoring Channels | 4 ~ 16 channels | |
Synchronous Scanning Channels | All channels | |
Sampling Rate | ≥100MHz | |
Refresh Rate | ≤ 1s | |
Sampling Mode | 24h uninterrupted | |
Discharge Type Identification | More than 5 typical discharge types | |
Monitoring Content | Discharge amplitude (Q), phase (Φ), times (N), discharge rate | |
Synchronization Signal | Power supply or others | |
Signal Input Interface | N-type RF connector | |
Communication Interface | RJ45, optical fiber SC or ST | |
Applicable Voltage Level | All voltage levels |
On-site Deployment Applications
The system is designed for on-site deployment in GIS substations and transformer rooms, ensuring continuous monitoring, early fault detection, and preventive maintenance. It supports a variety of operational scenarios and can be integrated with existing power grid management platforms for smart grid applications.
